insideBIGDATA Special Reports

The editors of insideBIGDATA, working with other industry experts, have created these free big data reports and guides on the following topics.

Guide to Data Analytics in Government

The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples, how the Internet-of-Things is taking a firm hold in helping government agencies collect and find insights in a broadening number of data sources, how government sponsored healthcare and life sciences are expanding, as well as how cybersecurity and data analytics are helping to secure government applications. The guide includes the following sections:

The insideBIGDATA Guide to Guide to Deep Learning and Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We also explain the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. We also present the results of a recent insideBIGDATA survey to explore how well these new technologies are being received. Finally, we take a look at a number of high-profile use case examples showing the effective use of AI in a variety of problem domains. The guide includes the following sections:

The insideBIGDATA Guide to Retail is directed toward line of business leaders in conjunction with enterprise technologists on how to leverage big data technologies for growing sales and competitive advantage. The guide also serves as a resource for retailers that are farther along the big data path and have more advanced technology requirements. This article is the first in a series that explores a high-level view of how the retail industry has been influenced by big data technologies. Other sections include:

With the insideBIGDATA Guide to Scientific Research, the goal is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.

In this new insideBIGDATA Guide to Manufacturing, the goal is to provide enterprise thought leaders in the manufacturing sector ways to obtain greater value from their company’s data assets through use of big data technology.

Industry Perspectives

In this special guest feature, Assaf Katan, CEO & Co-Founder of Apertio, the Open Data deep search engine, suggests that there are huge social and financial benefits that businesses and economies can realize if they can successfully leverage Open Data. Despite this, there are still some hurdles for data professionals to leap. A great way to start is to consider whether your data meets the criteria for what’s known as the FAIR principles. These are Findability, Accessibility, Interoperability and Reusability. [READ MORE…]

White Papers

AI models comprise algorithms and data, and they are only as good as their underlying mathematics and the data they are trained on. When things go wrong with AI it’s because either the model of the world at the heart of the AI is flawed, or the algorithm driving the model has been insufficiently or incorrectly trained. Download the new whitepaper from Alegion that can help AI project leads and business sponsors better understand the four distinct types of bias that can affect machine learning, and how each can be mitigated.